loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stijn De Beugher ; Geert Brône and Toon Goedemé

Affiliation: KU Leuven, Belgium

ISBN: 978-989-758-003-1

Keyword(s): Mobile Eye-tracking, Object Detection, Object Recognition, Real World, Data Analysis, Person Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Pervasive Smart Cameras

Abstract: In this paper we present a novel method for the automatic analysis of mobile eye-tracking data in natural environments. Mobile eye-trackers generate large amounts of data, making manual analysis very time-consuming. Available solutions, such as marker-based analysis minimize the manual labour but require experimental control, making real-life experiments practically unfeasible. We present a novel method for processing this mobile eye-tracking data by applying object, face and person detection algorithms. Furthermore we present a temporal smoothing technique to improve the detection rate and we trained a new detection model for occluded person and face detections. This enables the analysis to be performed on the object level rather than the traditionally used coordinate level. We present speed and accuracy results of our novel detection scheme on challenging, large-scale real-life experiments.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.226.234.20

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
De Beugher, S.; Brône, G. and Goedemé, T. (2014). Automatic Analysis of In-the-Wild Mobile Eye-tracking Experiments using Object, Face and Person Detection.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 625-633. DOI: 10.5220/0004741606250633

@conference{visapp14,
author={Stijn De Beugher. and Geert Brône. and Toon Goedemé.},
title={Automatic Analysis of In-the-Wild Mobile Eye-tracking Experiments using Object, Face and Person Detection},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={625-633},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004741606250633},
isbn={978-989-758-003-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Automatic Analysis of In-the-Wild Mobile Eye-tracking Experiments using Object, Face and Person Detection
SN - 978-989-758-003-1
AU - De Beugher, S.
AU - Brône, G.
AU - Goedemé, T.
PY - 2014
SP - 625
EP - 633
DO - 10.5220/0004741606250633

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.